JSON to Parquet converter
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Convert JSON to Parquet online
With our online JSON to Parquet converter you can convert your files without downloading any software or writing code. Unlike other services, you can make graphs from your converted data or perform analysis. Just click the navigation on the left hand side.
Convert JSON to Parquet online
Works with large JSON files that have millions of rows
View your converted Parquet data before downloading it
JSON
Java Script Object Notation (JSON) is a format that was designed for use with the Javascript Programming Language.
JSON files do not have a schema or required columns. Each row can have different field names and types. This can
make JSON files difficult to analyze.
Parquet
Apache Parquet (.parquet) is a format that was designed for storing tabular data on disk. It was designed based on the format used in Google's Dremel paper (Dremel later became Big Query).
Parquet files store data in a binary format, which means that they can be efficiently read by computers but are difficult for people to read.
Parquet files have a schema, so means that every value in a column must have the same type. The schema makes Parquet files easier to analyse than CSV files and also helps them to have better compression so they are smaller on disk.
How to convert JSON to Parquet
- Upload your JSON file
- Your JSON file will be converted to Parquet
- Download your Parquet file
- Click the view button to view your file
How to convert JSON to Parquet in Python
We can convert JSON to Parquet in Python using Pandas or DuckDB
How to Convert JSON to Parquet using Pandas
First, we need to install pandas
pip install pandas
Then we can load the JSON file into a dataframe
df = pd.read_json('path/to/file.json')
Finally, we can export the dataframe to the Parquet format
df.to_parquet('path/to/file.parquet', index=False)
How to Convert JSON to Parquet using DuckDB
First, we need to install duckdb for Python
pip install duckdb
The following DuckDB query will read a JSON file and output a Parquet file
duckdb.sql("""COPY (select * from 'path/to/file.json') TO 'path/to/file.parquet' (FORMAT 'parquet')""")
MT cars
Motor Trends Car Road Tests dataset.
filename
mtcars.parquet
rows
32
Flights 1m
1 Million flights including arrival and departure delays.
filename
flights-1m.parquet
rows
1000000
Iris
Iris plant species data set.
filename
iris.parquet
rows
50
House price
Housing price dataset.
filename
house-price.parquet
rows
545
Weather
Weather dataset with temperature, rainfall, sunshine and wind measurements.
filename
weather.parquet
rows
366